Chris Newman

6.8k total citations · 1 hit paper
155 papers, 3.7k citations indexed

About

Chris Newman is a scholar working on Ecology, Small Animals and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chris Newman has authored 155 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Ecology, 35 papers in Small Animals and 34 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chris Newman's work include Wildlife Ecology and Conservation (94 papers), Animal Ecology and Behavior Studies (32 papers) and Animal Behavior and Welfare Studies (29 papers). Chris Newman is often cited by papers focused on Wildlife Ecology and Conservation (94 papers), Animal Ecology and Behavior Studies (32 papers) and Animal Behavior and Welfare Studies (29 papers). Chris Newman collaborates with scholars based in United Kingdom, China and Canada. Chris Newman's co-authors include David W. Macdonald, Christina D. Buesching, Youbing Zhou, Yayoi Kaneko, Hannah L. Dugdale, Zongqiang Xie, Zhao‐Min Zhou, Paul J. Johnson, Terry Burke and Michael Noonan and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chris Newman

148 papers receiving 3.6k citations

Hit Papers

The Huanan Seafood Wholesale Market in Wuhan was the earl... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Newman United Kingdom 32 2.3k 960 521 472 472 155 3.7k
Christina D. Buesching United Kingdom 30 1.6k 0.7× 751 0.8× 412 0.8× 444 0.9× 366 0.8× 112 2.6k
Jonas Kindberg Sweden 34 3.0k 1.3× 599 0.6× 828 1.6× 205 0.4× 565 1.2× 104 3.9k
José Vicente López‐Bao Spain 42 3.4k 1.5× 482 0.5× 698 1.3× 361 0.8× 734 1.6× 174 4.7k
Margaret F. Kinnaird United States 35 2.6k 1.1× 980 1.0× 253 0.5× 1.1k 2.3× 648 1.4× 78 4.4k
Sipke E. van Wieren Netherlands 36 2.1k 0.9× 1.1k 1.1× 221 0.4× 259 0.5× 286 0.6× 78 3.7k
Sarah M. Durant United Kingdom 35 3.0k 1.3× 883 0.9× 550 1.1× 736 1.6× 519 1.1× 95 4.2k
James D. Forester United States 23 2.0k 0.9× 596 0.6× 429 0.8× 218 0.5× 314 0.7× 56 3.0k
Leandro Silveira Brazil 27 2.3k 1.0× 381 0.4× 406 0.8× 459 1.0× 712 1.5× 88 2.9k
J. Weldon McNutt Botswana 32 2.4k 1.0× 637 0.7× 496 1.0× 451 1.0× 404 0.9× 84 3.1k
Francisço Palomares Spain 42 5.0k 2.1× 970 1.0× 920 1.8× 437 0.9× 973 2.1× 180 6.2k

Countries citing papers authored by Chris Newman

Since Specialization
Citations

This map shows the geographic impact of Chris Newman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chris Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Newman more than expected).

Fields of papers citing papers by Chris Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Newman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chris Newman. The network helps show where Chris Newman may publish in the future.

Co-authorship network of co-authors of Chris Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Newman. A scholar is included among the top collaborators of Chris Newman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Newman. Chris Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Nan, Chris Newman, Christina D. Buesching, et al.. (2025). The recovery of rodent-mediated seed dispersal processes after open-pit marble mining. Biological Conservation. 311. 111440–111440.
3.
Newman, Chris. (2024). Turning the tide on healthy eating. British Journal of General Practice. 74(749). 555–555.
4.
Ross, Julius G. Bright, Andrew Markham, Christina D. Buesching, et al.. (2024). Links between energy budgets, somatic condition, and life history reveal heterogeneous energy management tactics in a group-living mesocarnivore. Movement Ecology. 12(1). 24–24. 4 indexed citations
5.
Zhao, Zixuan, et al.. (2023). Species availability and socio-economics drive prosecutions for regional mammal and bird poaching across China, 2014–2020. Global Ecology and Conservation. 46. e02583–e02583. 2 indexed citations
6.
Byrne, Andrew W., Adrian Allen, Simone Ciuti, et al.. (2023). Badger Ecology, Bovine Tuberculosis, and Population Management: Lessons From the Island of Ireland. SSRN Electronic Journal. 1 indexed citations
7.
Newman, Chris, et al.. (2022). Food resources and competition rather than eco-geographic rules explain trait variations in two contrasting rat species: Implications for future climate change. Global Ecology and Conservation. 40. e02339–e02339. 5 indexed citations
8.
Buesching, Christina D., et al.. (2022). Failing badger protection. Oryx. 56(2). 170–170. 1 indexed citations
9.
Ross, Julius G. Bright, Amanda Bretman, Chris Newman, et al.. (2021). Early‐life seasonal, weather and social effects on telomere length in a wild mammal. Molecular Ecology. 31(23). 5993–6007. 18 indexed citations
10.
Albery, Gregory F., Chris Newman, Julius G. Bright Ross, et al.. (2020). Negative density-dependent parasitism in a group-living carnivore. Proceedings of the Royal Society B Biological Sciences. 287(1941). 20202655–20202655. 20 indexed citations
12.
Sparks, Alexandra M., Amanda Bretman, Chris Newman, et al.. (2020). Estimation of environmental, genetic and parental age at conception effects on telomere length in a wild mammal. Journal of Evolutionary Biology. 34(2). 296–308. 19 indexed citations
13.
Newman, Chris, et al.. (2020). Social effects on age-related and sex-specific immune cell profiles in a wild mammal. Biology Letters. 16(7). 20200234–20200234. 12 indexed citations
14.
Newman, Chris, et al.. (2020). Reproductive and Somatic Senescence in the European Badger (Meles meles): Evidence from Lifetime Sex-Steroid Profiles. Zoology. 141. 125803–125803. 16 indexed citations
15.
Bretman, Amanda, et al.. (2019). Individual variation in early‐life telomere length and survival in a wild mammal. Molecular Ecology. 28(18). 4152–4165. 54 indexed citations
16.
Newman, Chris, Yayoi Kaneko, Christina D. Buesching, et al.. (2018). Asian badgers—the same, only different: how diversity among badger societies informs socio-ecological theory and challenges conservation. Oxford University Press eBooks. 2 indexed citations
17.
Sin, Simon Yung Wa, Chris Newman, Hannah L. Dugdale, et al.. (2016). No Compensatory Relationship between the Innate and Adaptive Immune System in Wild-Living European Badgers. PLoS ONE. 11(10). e0163773–e0163773. 8 indexed citations
18.
Nouvellet, Pierre, Chris Newman, Christina D. Buesching, & David W. Macdonald. (2013). A Multi-Metric Approach to Investigate the Effects of Weather Conditions on the Demographic of a Terrestrial Mammal, the European Badger (Meles meles). PLoS ONE. 8(7). e68116–e68116. 28 indexed citations
19.
Sin, Simon Yung Wa, Hannah L. Dugdale, Chris Newman, David W. Macdonald, & Terry Burke. (2012). Evolution of MHC class I genes in the European badger (Meles meles). Ecology and Evolution. 2(7). 1644–1662. 18 indexed citations
20.
Zhou, Youbing, et al.. (2009). Niche overlap and sett-site resource partitioning for two sympatric species of badger. Ethology Ecology & Evolution. 21(2). 89–100. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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